Principal Data Scientist

San Francisco, California
US$220000 - US$240000 per annum

Principal Data Scientist

$220,000 - $240,000

SAN FRANCISCO

Do you want to work for a company who is the leader in the mobile advertising space? Do you want to apply deep learning in the mobile advertising space and work with a lot of data? Do you enjoy having a lot of autonomy and working on challenging problem end to end? If so, join this company as a Principal Data Scientist!

THE COMPANY:

This company is a leader in their industry! They work with Brand Advertisers to help them reach their ideal mobile audience through rewarded video ads. This company is applying deep learning to this space and provides the opportunity for you to work with a lot of data. In this company, there are exciting and challenging problems to work on end to end! This company also gives you a lot of autonomy, particularly as a Principal Data Scientist. In addition, this company focuses a lot on employee development and are very open to creating space for growth for their team.

THE ROLE: PRINCIPAL DATA SCIENTIST

As a Principal Data Scientist, you will be working on exciting projects such as how to stack rank the offer or how to populate the bid! You will also be working on recommendations systems and applying deep learning techniques to brand new areas and ideas too! You will be involved in providing technical leadership, building POCs, and delivering machine learning and deep learning models into production.

In specific, you can expect to be involved in the following:

  • Autonomy and ownership of your machine learning models
  • Applying deep learning techniques to recommendation systems and new areas as well
  • Technical Leadership
  • Utilizing Python, TensorFlow, and Sagemaker
  • Example Project: pricing auction and win probability

YOUR SKILLS AND EXPERIENCE:

A successful Principal Data Scientist will have the following:

  • Real time machine learning and deployment experience
  • Experience with deep learning and having used deep learning in a production setting
  • Experience with Recommenders systems
  • Strength in the following tools: Python, TensorFlow, Sagemaker
  • Experience in Mobile Advertising - specifically pricing and bidding
  • Experience with exploration vs. exploitation
  • Experience with Recommendation, Personalization, and Ranking

THE BENEFITS:

  • $ 220,000 - $240,000

HOW TO APPLY:

Please register your interest by sending your CV to Kayla Nague via the Apply link on this page.

KEYWORDS: Machine Learning, Data Science, Python, Computer Science, Engineering, Artificial Intelligence, Algorithm Development, Deep Learning, TensorFlow, Recommendations Systems, Recommenders Systems, Pricing, Bidding, Exploration, Exploitation, Mobile Advertising, Recommendation, Personalization, Ranking

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93059
San Francisco, California
US$220000 - US$240000 per annum
  1. Permanent
  2. Deep Learning and AI

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